For a refresher on Bayes' Rule and independence see [1]}, and a general discussion on the Naive Bayes algorithm can be found in Friedman, et al.[2]} For simplicity, we assume that each feature in the feature vector \(\mathbf {x}=(x_1, x_2, \ldots , x_n)\)  is statistically independent of every other feature in \(\mathbf {x}\) .
